Okay, so, you wanna hear about that little “project” I was messing with the other day? The one I called “p oo rn”? Alright, buckle up, it’s a bit of a messy story.
It all started with me just being plain bored, y’know? Scrolling through Reddit, seeing all these crazy ideas people were throwing around. I was like, “Hey, I could probably cobble something together that looks kinda like that.” So, that’s exactly what I did.
First thing’s first, I needed some data. And where do you get data for this kinda thing? Well, let’s just say I wasn’t building a family-friendly app. I ended up using a bunch of different search engines, scraping image results with some basic Python scripts. It was dirty work, I’m not gonna lie, parsing through all that HTML garbage, filtering out the noise. Took a solid afternoon just to get a decent-sized dataset.
Then came the fun part: trying to actually DO something with it. I figured, “Hey, I’ll throw this into a simple image classification model.” I used TensorFlow, because that’s what I’m somewhat familiar with. Built a basic convolutional neural network, nothing too fancy. Trained it on my scraped images. The results? Well, let’s just say it was… interesting.
The accuracy was all over the place. Sometimes it’d nail it, sometimes it’d completely miss the mark and flag a picture of a cat as something else entirely. It was a real learning experience in the nuances of image recognition, that’s for damn sure. I tweaked the model, adjusted the training parameters, added more data (which meant more scraping, ugh). Slowly, but surely, the accuracy started to creep up.
After a few days of tinkering, I had something that was… passable. Not perfect, not even close to production-ready, but good enough to impress myself, at least. I even threw together a super-basic web interface with Flask, so I could upload images and get the model’s “predictions.”
The whole thing was a disaster. It was messy, ethically questionable, and probably violated a dozen different terms of service agreements. But, hey, I learned a lot! I learned about data scraping, image classification, and the importance of proper error handling (because my code crashed A LOT).
- Scraped a ton of images using Python.
- Built a simple CNN with TensorFlow.
- Trained the model (and tweaked it a million times).
- Created a janky web interface with Flask.
I wouldn’t recommend anyone actually doing what I did. There’s a reason I’m not sharing any code or data. But as a learning experience? It was invaluable. Just, uh, maybe pick a less controversial subject next time, alright?
So yeah, that’s the story of my little “p oo rn” project. A stupid idea, executed poorly, but ultimately, a worthwhile learning experience.
